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Vector Institute

proper nounAlso: Vector Institute for Artificial Intelligence

In plain wordsToronto's publicly and privately funded AI institute, set up in 2017 with Geoffrey Hinton as an adviser, which supports university researchers and helps companies, hospitals and government put their work to use.

  1. A Toronto nonprofit, backed by government and industry money, that pays for and organizes deep learningdeep learning, n.: Machine learning done with neural networks built from many stacked layers: raw data such as pixels, sound or text goes in at one end, and each layer turns what it receives into something more abstract. and wider machine learning research by faculty and students, chiefly from the University of Toronto and other Ontario universities, and links that research to companies, hospitals and public agencies. One of three national AI institutes under the Pan-Canadian Artificial Intelligence Strategy, with MilaMila, prop. n.: Montreal's deep-learning hub, where professors and students from several Quebec universities work side by side. It grew from the lab Yoshua Bengio started in 1993 and is among the world's largest academic AI centers. in Montreal and Amii in Edmonton, it was created to keep in Canada the talent produced by Toronto's deep-learning tradition, which includes Geoffrey HintonGeoffrey Hinton, prop. n.: A British-Canadian scientist whose decades of persistent work on brain-inspired neural networks laid the foundations of modern AI; often called a 'godfather of AI', he now warns publicly about its dangers.'s group and AlexNetAlexNet, prop. n.: The neural network that won a major image-recognition contest by a huge margin in 2012, convincing researchers and companies that deep learning trained on graphics chips was the way forward. (2012). Its work emphasizes AI in health care, trustworthy and safe AI, and training programs that help Canadian industry adopt machine learning.

Origin

Launched in March 2017 with funding from the Government of Canada, the Province of Ontario and private companies; Geoffrey Hinton served as its chief scientific adviser.

Related

See also
  • Geoffrey HintonGeoffrey Hinton, prop. n.: A British-Canadian scientist whose decades of persistent work on brain-inspired neural networks laid the foundations of modern AI; often called a 'godfather of AI', he now warns publicly about its dangers.
  • MilaMila, prop. n.: Montreal's deep-learning hub, where professors and students from several Quebec universities work side by side. It grew from the lab Yoshua Bengio started in 1993 and is among the world's largest academic AI centers.
  • deep learningdeep learning, n.: Machine learning done with neural networks built from many stacked layers: raw data such as pixels, sound or text goes in at one end, and each layer turns what it receives into something more abstract.
  • AlexNetAlexNet, prop. n.: The neural network that won a major image-recognition contest by a huge margin in 2012, convincing researchers and companies that deep learning trained on graphics chips was the way forward.